The Experts below are selected from a list of 3387 Experts worldwide ranked by ideXlab platform
B D Mccullough - One of the best experts on this subject based on the ideXlab platform.
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the accuracy of Econometric Software
2009Co-Authors: B D McculloughAbstract:Generally speaking, Econometric textbooks convey the impression that all Econometric Software functions equally well all of the time. Nothing could be farther from the truth. The literature documents numerous errors in Econometric Software and, yet, textbook writers remain silent on this point. Textbook writers convey the impression that one need only use an Econometric Software package, any Econometric Software package, to perform the calculations presented in the text. They never mention that different packages can give different answers to the same problem. Why not? The only logical conclusion is that they do not regard the topic of Econometric Software accuracy as pertinent to Econometrics. Many developers take the same approach: they offer nothing other than their most solemn assurance that their Software is accurate. A few Software developers offer tangible proof of the accuracy of some of their procedures, but such developers are a distinct minority. This chapter takes the position that the above-mentioned textbook writers and most Software developers are wrong: it is not safe to assume that Econometric Software is accurate (McCullough, 2000a). This topic is important even for the economist who will never write any code, so that he may guard against using inaccurate Software. The literature does not contain many examples of inaccurate Software for one primary reason: many Software failures appear ‘reasonable’ and the user does not know that he has encountered an incorrect answer. Only an attempt to replicate the results would uncover
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Testing Econometric Software
Palgrave Handbook of Econometrics, 2009Co-Authors: B D McculloughAbstract:The first part of this chapter is a non-technical survey of the relatively sparse literature on testing the accuracy of Econometric Software. Accuracy is primarily assessed by taking a test problem, with known inputs and outputs, giving it to the Software, and comparing the Software’s output with the output of the test problem. We discuss the various types of tests (introductory, intermediate, and advanced) and the types of errors that these tests have uncovered. The reader is directed to specific resources for further information. The second part, which is technical, constructs a test problem (i.e., benchmark) for autoregressive moving average (ARMA) estimation. In 1994 it was reported in the literature that different packages give different answers to the same ARMA estimation problem. To date, this open problem has been unresolved. We provide benchmarks for conditional least squares and unconditional least squares ARMA estimation.
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Corrigenda: The Numerical Reliability of Econometric Software
Journal of Economic Literature, 1999Co-Authors: Hrishikesh D. Vinod, B D McculloughAbstract:CORRIGENDA Volume 37, June 1999 In "The Numerical Reliability of Econometric Software", by B. D. McCullough and H. D. Vinod, there are misprints in some equations on page 647 in the upper part of the left-hand column. The passage should read as follows: The normal equations are 6?^ + 61.5? ^ = 7.261 61.5?^ + 630.55? ^ = 74.5053 which yields a regression line of Y^ = ?3.478 + 0.457X. Suppose that the normal equations had been computed only to four significant digits as 6?^ + 61.5? ^ = 7.261 61.5?^ + 630.6? ^ = 74.50.
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The Numerical Reliability of Econometric Software
Journal of Economic Literature, 1999Co-Authors: B D Mccullough, Hrishikesh D. VinodAbstract:Numerous examples show that some Econometric Software packages contain serious flaws, and that users cannot safely assume that their Software is accurate. A brief survey of the fundamentals of computer arithmetic discusses the sources of numerical error and emphasizes that computer arithmetic is not at all like pencil-and-paper arithmetic. Both users and developers of Econometrics Software should first pay attention to accuracy, and only later consider user-friendliness. Details are provided for assessing the accuracy of basic estimation routines, statistical distributions, and random number generators. More accuracy benchmarks are needed, especially for specialized Econometric procedures.
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Wilkinson's Tests and Econometric Software
Computing in Economics and Finance, 1999Co-Authors: B D McculloughAbstract:Wilkinson Tests are entry-level tests for assessing the numerical accuracy of statistical computations that have been applied to statistical Software packages. Some Software developers whose products have failed these tests have corrected deficiencies in subsequent versions. Thus, these tests have had a meliorative impact on the state of statistical Software. These same tests are applied to several Econometrics packages. Many deficiencies are noted.
Arie Ten Cate - One of the best experts on this subject based on the ideXlab platform.
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Solving models with inequalities using standard Econometric Software
Computational Statistics & Data Analysis, 2009Co-Authors: Arie Ten CateAbstract:Simultaneous Econometric models may contain pairs of complementary inequalities. It is discussed how to reformulate such models and solve them with Econometric Software which can handle only equalities. Two approaches are applied: the normal map representation and the Fischer-Burmeister NCP function. The latter seems to work best. The Software programs TSP, SAS/ETS and EViews are tested. The test model describes two markets for electricity, each with fluctuating demand and an endogenous production capacity; the capacity of the trade link between the regions is also endogenous.
Ten Catearie - One of the best experts on this subject based on the ideXlab platform.
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Solving models with inequalities using standard Econometric Software
Computational Statistics & Data Analysis, 2009Co-Authors: Ten CatearieAbstract:Simultaneous Econometric models may contain pairs of complementary inequalities. It is discussed how to reformulate such models and solve them with Econometric Software which can handle only equali...
Markus Krätzig - One of the best experts on this subject based on the ideXlab platform.
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A Software Framework for Data Based Analysis
2008Co-Authors: Markus KrätzigAbstract:This paper presents the Software framework JStatCom which is geared towards the development of rich GUI clients for numerical procedures. The concept is to solve all recurring tasks with the help of reusable Java components. Optionally, one can delegate the execution of special numerical algorithms to external programs, for example Gauss or Matlab. This way it is possible to reuse an already existing code base for numerical routines written in different programming languages and to link them with the Java world. A reference application for JStatCom is the Econometric Software package JMulTi, which will shortly be introduced.
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A Software framework for data analysis
Computational Statistics & Data Analysis, 2007Co-Authors: Markus KrätzigAbstract:The open-source Java Software framework JStatCom is presented which supports the development of rich desktop clients for data analysis in a rather general way. The concept is to solve all recurring tasks with the help of reusable components and to enable rapid application development by adopting a standards based approach which is readily supported by existing programming tools. Furthermore, JStatCom allows to call external procedures from within Java that are written in other languages, for example Gauss, Ox or Matlab. This way it is possible to reuse an already existing code base for numerical routines written in domain-specific programming languages and to link them with the Java world. A reference application for JStatCom is the Econometric Software package JMulTi, which will shortly be introduced.
Ali Amiri - One of the best experts on this subject based on the ideXlab platform.
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Institutional Ownership Structure; Mediator Role in Related Party Transactions and Corporate Profit Management
2018Co-Authors: Mehdi Khosrokhah, Hojatollah Salari, Ali AmiriAbstract:Institutional ownership is an important indicator of stock investment and can have a huge impact on the behavior and behavior of companies. In this study, the effect of institutional ownership structure on the relationship between Related Party Transactions and profit management of listed companies in Tehran Stock Exchange was investigated. The research sample was 87 companies that were selected in a systematic and purposive manner. The required data were collected from the MABNA Software and analyzed using Eviews Econometric Software. The results indicated that the institutional ownership structure reduced the relationship between Related Party Transactions and management of profits, so that both of long-term institutional ownership and short-term institutional ownership reduced the forecast of profit management through Related Party Transactions.
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Profit Management in Companies Based on Related Party Transactions
2018Co-Authors: Mehdi Khosrokhah, Hojatollah Salari, Ali AmiriAbstract:In this research, the relationship between transactions with affiliated entities and profit management of listed companies in Tehran Stock Exchange was investigated. The research method was descriptive and correlational. The research sample was 87 companies that were selected in a systematic and purposive method. The required data were collected from the MABNA Software and analyzed using Eviews Econometric Software. The results of this research showed that deals with affiliated entities account for 55.2 percent of profit management. Therefore, companies that transactions with affiliated entities manage their earnings.
